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Python has a package called mord which performs multiclass ordinal classification. General Idea The general idea is to build k - 1 classification models each predicting the probability of a data point ...

The goal of an ordinal classification problem is to predict a discrete value, where the set of possible values is ordered. For example, you might want to predict the price of a house (based on ...

We can categorize the ordinal regression into two categories: Ordered logit model: We can also call this model an ordered logistic model that works for ordinal dependent variables and a pure ...

Ordinal classification (OC) is an important niche of supervised pattern recognition, in which the classes constitute an ordinal structure. In general, the ordinal structure can be identified, either ...

Ordinal classification is a specific and demanding task, where the aim is not only to increase accuracy, but to also capture the natural order between the classes, and penalize incorrect predictions ...

To date, a large number of active learning algorithms have been proposed, but active learning methods for ordinal classification are under-researched. For ordinal classification, there is a total ...